CVE-2025-6242

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The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources."}, {"lang": "es", "value": "Una vulnerabilidad de falsificaci\u00f3n de petici\u00f3n del lado del servidor (SSRF) existe en la clase MediaConnector dentro del conjunto de caracter\u00edsticas multimodales del proyecto vLLM. Los m\u00e9todos load_from_url y load_from_url_async obtienen y procesan medios de URLs proporcionadas por el usuario sin restricciones adecuadas en los hosts de destino. Esto permite a un atacante coaccionar al servidor vLLM para que realice peticiones arbitrarias a recursos de red internos."}], "id": "CVE-2025-6242", "lastModified": "2026-10-18T21:10:00.120", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H", "version": "3.1"}, "exploitabilityScore": 1.6, "impactScore": 5.5, "source": "secalert@redhat.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2025-6242", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2025-10-07T19:55:28.751523Z", "version": "2.0.3"}}]}, "published": "2025-10-07T20:15:36.187", "references": [{"source": "secalert@redhat.com", "url": "https://access.redhat.com/security/cve/CVE-2025-6242"}, {"source": "secalert@redhat.com", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2373716"}], "sourceIdentifier": "secalert@redhat.com", "vulnStatus": "Deferred", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-918"}], "source": "secalert@redhat.com", "type": "Secondary"}]}

{"bugzilla": {"description": "vllm: Server Side request forgery (SSRF) in MediaConnector", "id": "2373716", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2373716"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.1", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H", "status": "draft"}, "cwe": "CWE-918", "details": ["A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources."], "mitigation": {"lang": "en:us", "value": "Red Hat has investigated whether a possible mitigation exists for this issue, and has not been able to identify a practical example. 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"Affected", "package_name": "rhelai1/modelcar-granite-3-1-8b-starter-v1", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-3-1-8b-starter-v2", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-3-1-8b-starter-v2-1", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-7b-redhat-lab", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-7b-starter", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-8b-code-base", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-8b-code-instruct", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-8b-lab-v1", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-8b-lab-v2-preview", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-granite-8b-starter-v1", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-knowledge-adapter-v3", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-mixtral-8x7b-instruct-v0-1", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-prometheus-8x7b-v2-0", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-skills-adapter-v3", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/modelcar-snowflake-arctic-embed-l-v2.0", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/pathservice-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/prometheus-8x7b-v2-0", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/skills-adapter-v3", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/ui-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}], "public_date": "2025-10-07T00:00:00Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-6242\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-6242"], "statement": "This vulnerability has been rated as having the severity of Important by the Red Hat Product Security team as a successful exploitation by an attacker may lead to confidential data being leaked or a denial of service. Additionally the fact a unprivileged user can trigger this vulnerability through the network also contributes for the severity.\nThis vulnerability has its risk amplified on orchestrated environments as pods running the vLLM may eventually communicate with each other through internal cluster routing, including services that should not have been exposed to external networks. An attacker may leverage this flaw to interact with internal services, perform network reconnaissance or trigger a denial of service by leading other internal services to fail.", "threat_severity": "Important"}

{}